How to increase sales with eBay Promoted Listings at lower advertising costs? [2020 research]
This article is to help eBay sellers optimize their revenue and benefit from advertising (Promoted Listings) while keeping costs under control.
Did you know that with ad rates recommended by eBay, Promoted Listings can cost you 2-3 times more while not bringing additional revenue? So how to sell your products online more successfully?
Poor understanding of how Promoted Listings and bidding on eBay work can result in sellers spending much more than needed on ecommerce advertising. It may not bring the desired ROI, either. One of the questions is when to go for safer or more aggressive bidding.
The subject of the study conducted by Webinterpret was the relationship between ad expenses (ad rate) & sales increase and its impact on eBay Promoted Listings’ bidding strategy.
The following research & 5 key takeaways are based on an analysis prepared by Adam Harasimowicz, Data Scientist and Product Manager at Webinterpret.
Research: what’s the optimal ad investment on eBay for maximum returns?
In the experiment, Webinterpret analyzed the performance of Promoted Listings on international eBay markets. We tested different approaches and experimented with different ad rates (recommended by eBay and lower). The goal was to define the optimal ad investment to help sellers optimize their revenue and ROI.
Key details about the eBay Promoted Listings experiment:
- We tested around 1,000,000 listings of UK eBay sellers. The listings came from the majority of eBay categories.
- 50% of the analyzed listings were promoted on international markets in Germany and the USA. The remaining listings were left unpromoted.
- Listing performance was tested & studied by Webinterpret’s Data Science Team who analyzed sales, views and impressions.
- Our data scientists tested bidding strategies and ad rates. They compared the findings against non-promoted items.
- The experiment took place in Q4 2019 & Q1 2020. In Q4 2019 Promoted Listings were run for 6 weeks and in Q1 2020 for 5 weeks.
Below you’ll find major findings, recommendations and takeaways from our study.
#1 takeaway: Promoted Listings on eBay boost product visibility
Our experiments confirm that promoting listings on eBay boosts product visibility:
- Impressions tend to increase 4-5 times.
- Visits on product pages increase by 60-70%.
Interestingly, ads have a much lower CTR (click-through rate): up to 10 times lower than organic results. However, the good news is that when potential buyers have already clicked the ads and are browsing the product pages, the sales conversion rates are comparable to the traffic acquired organically.
#2 takeaway: German buyers are more likely to click on Promoted Listings
In general, German online buyers are less likely to click on listings, be they ads or organic results. US buyers, in turn, tend to click more often, so CTRs for both ads and organic results are higher.
Interestingly, despite the typical behavior of Germans, their share of clicks on Promoted Listings is bigger than in the US. The attitude of US buyers towards clicking on ads turns out to be more skeptical compared to clicking items from organic results.
German buyers seem more likely than US buyers to click on ads. The proportion between sponsored click rate and organic click rate is 17% higher than in the US.
Further observations based on our analysis:
- Germans are more deliberate shoppers compared to their US counterparts. When comparing organic CTRs between the two countries, Germans check on average twice as many products as US shoppers before deciding to visit a product page.
- Promoted Listings’ impact on sales varies due to different sellers having different inventories and adopting different business approaches. Some merchants may barely notice additional transactions generated by advertising. For other sellers, Promoted Listings can result in even tripling their sales.
- An important part of your advertising strategy is testing and learning from different markets. In some markets CTRs can be higher so Promoted Listings are more affordable.
#3 takeaway: ad rates (expenses) depend on the country & time
Based on our analysis, here’s a number of observations about ad rates:
- As expected, higher ad rates (thus ad expenses) lead to higher increases in sales
- Ad rates recommended by eBay can be high: around 6% on average, but in some cases as high as 45% or even more!
Ad rates differ between sites/countries and over time:
- Sellers in the USA tend to pay more for ads than sellers in Germany
- Ad expenses before Christmas were higher than in Q1.
#4 takeaway: lower ad rates can make more sense for eBay sellers from the ROI perspective
According to our tests:
Promoted Listings increased international sales in Germany by 35% and in the USA by 54%. This happened at advertising costs 2-3 times lower (safe bidding strategy) than rates recommended by eBay.
By bidding higher (often at the rates recommended by eBay), many sellers can increase their sales even further (+80%). However, the reality is that with a good bidding strategy, similar results can be achieved at 30-40% lower costs.
In some situations (depending on which item is promoted and at which rate), organic sales (achieved without ads) can be partially cannibalized by the paid ones.
For example, if advertising helps your product get a slightly higher position in search results (let’s say position 5 instead of 6), then transactions will be charged with an ad fee: even if most sales would have taken place without promotion. This also speaks in favor of a safer bidding strategy.
Luckily, overall, the cannibalization of organic sales by the paid transactions is rather marginal. However, the situation may differ between sellers and products. Thus, it’s beneficial to have an automated mechanism for campaign management that would deactivate ads when they’re not needed.
#5 takeaway: data & testing helps you determine your optimal bidding strategy
According to numerous online sources, articles and YouTube videos, sellers should promote items at the minimum rate of 1%. This makes some sense.
First, promotion is better than no promotion. Promoting items at the 1% ad rate gives you an advantage over sellers not using Promoted Listings. Second, due to high costs it’ll be more cost-efficient than following ad rates recommended by eBay.
However, the number of merchants going for the minimum rates (1-1.5%) is high. If you choose the same approach, it’ll be difficult for you to stand out and gain a competitive edge.
To top it off, we feel intuitively that there’s something off about using the same ad rate for all product types. Data confirm it.
Often it’s not about a safe or aggressive bidding strategy, but the optimal one.
Sellers should regularly adjust their bids due to the changing ad rates of other sellers, e.g. higher bids during the Christmas season.
For products with higher profit margins, sellers should use more aggressive bidding. In contrast, for products with lower margins, ad spend should be lower.
In both situations, the key is to find the right balance: avoid both overpaying for promotion and excessive cost-cutting. In the latter case, you may lose many potential transactions. Finding sweet spots is much easier when you have data and you can detect patterns at scale.
eBay Promoted Listings’ advertising model is very seller-friendly and reduces the risk of wasting money. This contrasts with Amazon Advertising or Google Ads that require sellers to pay for traffic acquisition even if it doesn’t result in sales.
For this reason:
It’s worth trying eBay Promoted Listings due to increased sales potential and the low associated risk. Finding the balanced bidding strategy is the key.
If you have questions about our findings/research or would like to discuss your Promoted Listings’ strategy, feel free to contact our cross-border experts. If you’re (considering) using eBay Promoted Listings, we can provide you with the necessary support so you can maximize your revenue whilst minimizing your advertising costs and efforts.
Adam Harasimowicz, Data Scientist and Product Manager at Webinterpret, is an expert in data analysis and machine learning. He’s gathered his professional experience over 8 years of working in Poland and the UK. Currently, he leads the Data Science Team at Webinterpret and focuses on building ecommerce products which leverage data. In his private life, he is a passionate traveler, skier and sailor.
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